Paper: Using Bag-Of-Concepts To Improve The Performance Of Support Vector Machines In Text Categorization

ACL ID C04-1070
Title Using Bag-Of-Concepts To Improve The Performance Of Support Vector Machines In Text Categorization
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2004
Authors

This paper investigates the use of concept- based representations for text categoriza- tion. We introduce a new approach to cre- ate concept-based text representations, and apply it to a standard text categorization collection. The representations are used as input to a Support Vector Machine classi- fier, and the results show that there are cer- tain categories for which concept-based rep- resentations constitute a viable supplement to word-based ones. We also demonstrate how the performance of the Support Vec- tor Machine can be improved by combining representations.